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» Boosting and Hard-Core Sets
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146
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PAMI
2012
13 years 2 months ago
Trainable Convolution Filters and Their Application to Face Recognition
—In this paper, we present a novel image classification system that is built around a core of trainable filter ensembles that we call Volterra kernel classifiers. Our system trea...
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri, Ha...
ICFP
2012
ACM
13 years 2 months ago
Introspective pushdown analysis of higher-order programs
In the static analysis of functional programs, pushdown flow analabstract garbage collection skirt just inside the boundaries of soundness and decidability. Alone, each method re...
Christopher Earl, Ilya Sergey, Matthew Might, Davi...
111
Voted
CIDM
2009
IEEE
15 years 4 months ago
Empirical comparison of graph classification algorithms
The graph classification problem is learning to classify separate, individual graphs in a graph database into two or more categories. A number of algorithms have been introduced fo...
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Coo...
SEMCO
2007
IEEE
15 years 6 months ago
Cross-Genre Feature Comparisons for Spoken Sentence Segmentation
Automatic sentence segmentation of spoken language is an important precursor to downstream natural language processing. Previous studies combine lexical and prosodic features, but...
Sébastien Cuendet, Dilek Z. Hakkani-Tü...
116
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NIPS
2003
15 years 1 months ago
Log-Linear Models for Label Ranking
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
Ofer Dekel, Christopher D. Manning, Yoram Singer